Currently tracking 440 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Architect, AI Systems and Networking This role focuses on building and optimizing systems-level software for high-performance communication and memory management libraries essential for distributed AI workloads. It involves hardware-software co-optimization, profiling data movement, and integrating networking capabilities into AI serving stacks, bridging applied research and production engineering. | Serve | 7 |
| Senior Software Engineer, Humanoid Robotics Senior Software Engineer role focused on shaping the future of autonomous machines and building/deploying scalable robotic solutions, with a focus on humanoid robotics. Responsibilities include crafting application software architecture, scaling deployment of new technologies, integrating hardware/software, and providing technical guidance. Requires experience in robotics, ML/RL, and software development, with a strong plus for GPU programming/CUDA and sim-to-real transfer. | Ship |
| 7 |
| Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles Senior Data Analysis Engineer role focused on critical metrics for autonomous driving (AD) products. The role involves defining performance, supervising test events, analyzing trends, improving triage efficiency, and automating metric generation for dashboards. It requires strong technical ability, scripting experience, and leadership to support AV software development and release. | Ship | 7 |
| Deep Learning Kernel Software Performance Architect - New College Grad 2026 NVIDIA is seeking a Deep Learning Kernel Software Performance Architect to develop and analyze processor and system architectures that accelerate machine learning and data analytics applications. The role involves debugging deep learning software, developing analysis tools, and collaborating with various NVIDIA teams to optimize performance. | Serve | 7 |
| Senior Computer Vision and Deep Learning Hardware Architect NVIDIA is seeking an Autonomous Vehicle Performance Architecture Engineer to design, model, and verify state-of-the-art programmable vision accelerators (PVA) for automotive and robotics. The role involves optimizing software for autonomous driving solutions, analyzing and prototyping applications, building performance models for future architectures, and collaborating with teams to enhance PVA architecture. Requires a Masters/PhD, 3+ years of relevant experience, strong C/C++ and computer architecture skills, and performance modeling/optimization expertise. Experience in DSP programming, autonomous vehicle software, deep learning, computer vision, and self-driving cars is a plus. | ServePost-train | 7 |
| Senior Software Engineer, NCCL Senior Software Engineer role focused on designing, implementing, and maintaining highly-optimized communication runtimes for Deep Learning frameworks and HPC programming interfaces on GPU clusters. This involves system software development, parallel programming interface contributions, and proof-of-concept creation for new designs and hardware features. | Serve | 7 |
| Senior ASIC Infrastructure Engineer NVIDIA is seeking a Senior ASIC Infrastructure Engineer to define and deploy AI/ML applications for chip design, debug, and verification. The role involves collaborating with hardware design teams, architecting novel tools, and staying updated on AI/ML advancements like LLMs, RAG, and GenAI to integrate them into the company's infrastructure. | Agent | 7 |
| Senior Software Triage Engineer - Autonomous Vehicles Senior Software Triage Engineer for Autonomous Vehicles at NVIDIA, focusing on debugging, root cause analysis, and improving the quality of AV software through triage and evaluation. | Ship | 7 |
| Senior Manager, Site Reliability Engineering Senior Manager of Site Reliability Engineering to lead and reshape IT operations at scale, building AI-powered systems for reliability, speed, and employee experience. Focuses on transforming Incident, Problem, and Change Management using observability, AI insights, and orchestration to move towards predictive and autonomous operations. | Serve | 7 |
| Senior Software Engineer - Autonomous Vehicles Senior Software Engineer for Autonomous Vehicles at NVIDIA, focusing on integrating ML and classical trajectory planners within a safety-oriented framework for SAE Level 3/4 autonomy. The role involves architectural work, establishing safety frameworks, building minimum-risk planning, and designing scalable architectures for self-driving products. | ShipAgent | 7 |
| Senior Software Systems Engineer, L3 and L4 - Autonomous Driving Senior Software Systems Engineer role focused on L3 and L4 autonomous driving products at NVIDIA. Responsibilities include developing use cases, system requirements, performance analysis, formulating test cases, and defining test strategies. Requires strong experience in safety-critical systems engineering, SOTIF, functional safety, and understanding trade-offs between deep learning and classical approaches. | AgentServe | 7 |
| Senior Software Engineer, Parking - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles team, focusing on building groundbreaking technology at the intersection of automotive and robotics for parking and driving features. The role involves designing and implementing planning algorithms in C++ and supporting deployment on test vehicles. | Agent | 7 |
| Lead Safety Architect - Autonomous Vehicles Lead Safety Architect for NVIDIA's autonomous vehicle technology, focusing on integrating safety measures into DRIVE products and ensuring safety at scale. This role involves defining safety architecture, requirements, and metrics, and improving processes for safety analysis and data-driven evaluation. | ShipEval Gate | 7 |
| Manager, AI Networking Performance Research and Analysis Manager for AI Networking Performance Research and Analysis at NVIDIA, focusing on optimizing networking technologies (NIC, Switch) for AI workloads like LLM training and inference. The role involves end-to-end performance strategy, from pre-silicon modeling to GA, and building telemetry frameworks and dashboards for performance tracking and root cause analysis. Requires strong experience in high-performance networking, cluster performance, and managing engineering teams, with a focus on Python, Bash, and C/C++. | ServeAgent | 7 |
| Senior Software Engineer, AI Inference Senior Software Engineer focused on optimizing and scaling AI inference for large language models, working with customers and contributing to open-source projects like vLLM. | Serve | 7 |
| Senior Software Engineer, Machine Learning Inference Senior Software Engineer role focused on designing and implementing inference software optimizations for NVIDIA TensorRT and TensorRT-LLM to accelerate AI applications on NVIDIA GPUs. Involves C++, Python, and CUDA development, collaboration with AI experts, and optimization of deep learning frameworks and compilers. | Serve | 7 |
| Senior Math Libraries Engineer - Sparsity in AI Software engineer to design and develop C++ libraries and tools for unstructured sparsity in Deep Learning (DL) and High-Performance Computing (HPC) on NVIDIA GPUs. This involves DSL specifications, on-demand code generation, and enabling the system in Python/PyTorch. The role focuses on performance evaluation, library quality, and collaboration with product management. | Serve | 7 |
| Senior Software Engineer, JAX Senior Software Engineer focused on performance optimizations for JAX, a deep learning framework, to build a scalable platform for data, training, and analysis. The role involves developing core JAX components, working with AI researchers, and building tools to improve AI system development efficiency. | Serve | 7 |
| Senior AI and FSI Developer Technology Engineer Senior AI and FSI Developer Technology Engineer at NVIDIA focused on optimizing AI and HPC workloads on NVIDIA CPUs and GPUs for the financial services industry. The role involves researching, designing, and developing techniques to accelerate these workloads, profiling and eliminating performance bottlenecks, and collaborating with internal and external experts to influence future hardware and software designs. The engineer will also publish and present their work. | Serve | 7 |
| Senior Architecture Energy Modeling Engineer NVIDIA is seeking a Senior Architecture Energy Modeling Engineer to develop and deploy methodologies for energy-efficient products, focusing on building Machine Learning based power models for GPUs, CPUs, and Tegra SOCs. The role involves collaborating with various engineering teams to analyze and reduce power consumption, improve model accuracy, and integrate power models into simulation platforms. | Data | 7 |
| Autonomous Agent Engineer NVIDIA is seeking an Autonomous Agent Engineer to build the infrastructure for secure and autonomous AI agent execution. This role involves designing and shipping SDKs, CLIs, and developer tooling for sandboxed compute environments, state management, and security boundaries for AI agents. The position requires strong systems engineering skills, experience with distributed systems and developer platforms, and proficiency in languages like Python or Go. Experience with agentic AI systems, sandboxing technologies, and security fundamentals is highly desirable. | AgentServe | 7 |
| Senior Software Engineer - NIM Factory Container and Cloud Infrastructure Senior Software Engineer role focused on container and cloud infrastructure for NVIDIA Inference Microservices (NIMs) and hosted services. The role involves designing and implementing container strategies, building enterprise-grade software for container build, packaging, and deployment, and improving reliability, performance, and scale across thousands of GPUs, with a focus on disaggregated LLM inference. | Serve | 7 |
| Developer Technology Engineer, HPC and AI NVIDIA is seeking a Developer Technology Engineer to research, develop, and optimize deep learning, machine learning, and HPC workloads on NVIDIA's accelerated computing platform. The role involves working with customers and internal teams to address real-world use cases and performance challenges. | Serve | 7 |
| Senior Machine Learning Applications and Compiler Engineer, LPX NVIDIA is seeking engineers to develop algorithms and optimizations for their LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning to map neural network workloads onto future NVIDIA platforms. Responsibilities include building and maintaining high-performance runtime and compiler components for end-to-end inference optimization, defining workload mappings, extending the SW ecosystem, benchmarking, profiling, and collaborating with hardware architects. The role involves prototyping new compilation and runtime techniques and publishing technical work. | Serve | 7 |
| Senior Math Libraries Engineer – AI and HPC Senior engineer to join NVIDIA's Math Libraries team, focusing on kernel generation for AI and HPC, specifically matrix operations, JITing, and fusions. The role involves designing and implementing high-performance numerical dense linear algebra software on GPUs, providing technical leadership, and collaborating with product management. | Serve | 7 |
| Senior Manager, Software Engineering - Agentic Automation Senior Manager, Software Engineering at NVIDIA focused on leading a team to design and deliver enterprise-grade agentic AI solutions, including LLM-based agents, RAG, and orchestration, with a strong emphasis on full-stack ownership, automation, and roadmap definition. | AgentServe | 7 |
| Senior Manager, GPU Cloud Infrastructure - GeForce NOW Senior Manager to lead the design, scaling, and operations of high-performance networking for GPU-based cloud infrastructure, critical for cloud gaming, AI/ML training, and inference platforms. | Serve | 7 |
| Principal Software Engineer — Agentic AI Applications and Foundations Principal Software Engineer to lead the development and hardening of agentic AI applications and infrastructure within NVIDIA's Enterprise AI team. This role focuses on improving reliability, performance, and scalability of AI products, designing resilient systems, establishing operational excellence, and building reusable capabilities for agent domains. The position requires deep expertise in production software systems, full-stack development, and modern AI application patterns, with a strong emphasis on turning prototypes into mature, well-operated production systems. | Agent | 7 |
| Senior Deep Learning Test Development Engineer, SDET Senior Deep Learning Test Development Engineer (SDET) at NVIDIA's AI SWQA team, responsible for validating the robustness and performance of NVIDIA's AI software and GPU Infrastructure across various AI scenarios. The role involves test planning, design, execution, automation, and bug management, with a focus on improving workflow processes and efficiency. Experience with LLM inference frameworks and AI development tools is required. | Serve | 7 |
| Senior AI and LLM Solutions Software Engineer Software Engineer role focused on developing AI and LLM-based solutions to enhance chip design and verification processes. Requires 5+ years of software development experience with at least 2 years in AI/LLM solutions. | Agent | 7 |
| Senior Staff AI Platform Engineer Senior Staff AI Platform Engineer at NVIDIA responsible for building, supporting, and maintaining AI-native infrastructure for enterprise products. This role involves architecting and scaling LLM/ML infrastructure, designing observability for AI models, developing automation, and troubleshooting complex distributed systems. The engineer will also drive AI-assisted engineering practices and partner with product teams to deliver scalable AI solutions. | ServeAgent | 7 |
| Senior Manager, Machine Learning Ops Engineering - Automotive Senior Manager, Machine Learning Ops Engineering - Automotive at NVIDIA, leading the development and operation of large-scale data and ML pipelines for autonomous driving, focusing on data ingestion, processing, and validation for training and evaluation datasets. | DataEval Gate | 7 |
| Senior Software Engineer, Deep Learning Inference - Automotive Safety Senior Software Engineer focused on developing high-performance deep learning inference software for safety-critical automotive applications using C++. The role involves integrating hardware functionalities into TensorRT, optimizing performance, and ensuring rigorous safety validation and documentation. | Serve | 7 |
| Senior Software Engineer, Deep Learning Inference - TensorRT NVIDIA is seeking a Senior Software Engineer to develop and scale a state-of-the-art inference framework for accelerating Deep Learning models, particularly LLMs, on NVIDIA GPUs using TensorRT. The role involves crafting inferencing software, developing components of TensorRT, and optimizing the deployment of trained models using C++ and Python. | Serve | 7 |
| Senior MLOps Engineer, GenAI Framework This role focuses on building and maintaining CI/CD pipelines and release processes for NVIDIA's GenAI frameworks (Megatron-LM, NeMo). It involves implementing scalable DevOps solutions, managing infrastructure (Kubernetes, Docker, Slurm), automating tasks for research and development cycles, and developing quality control measures. The goal is to enable efficient work for GenAI software engineers, DL algorithm engineers, and research scientists, optimizing performance and ensuring high-quality software delivery. | Serve | 7 |
| Senior QA Automation Engineer — Network AI Platform Senior QA Automation Engineer for NVIDIA's Network AI platform team, focusing on testing AI/ML-powered network solutions, including AI algorithms and multi-cloud integrations for enterprise-scale network monitoring and automation. Requires strong Python automation, networking knowledge, and experience with API and system testing. | Ship | 7 |
| System Software Engineer, Python and C/C++ - Deep Learning System Software Engineer role at NVIDIA focused on deep learning, data analytics, and machine learning. The role involves researching, prototyping, developing, and optimizing solutions, tools, and libraries. It also includes analyzing and improving deep learning libraries and frameworks, defining APIs, and performance tuning. The position requires strong Python and C/C++ programming skills, experience in complex system design, and knowledge of algorithms and data structures. The role is primarily focused on the engineering and optimization of AI infrastructure and tools. | Serve | 7 |
| Senior Systems Performance Engineer Senior Systems Performance Engineer at NVIDIA focused on validating and optimizing GPU accelerated computing products, specifically for Deep Learning/AI applications. The role involves system architecture, performance modeling, and developing stress/performance testing strategies for ML/LLM workloads. | Serve | 7 |
| Manager, Solution Engineering for NVIDIA Experience Manager for a solution engineering team focused on customer support of NVIDIA software products (AI Enterprise, Omniverse, vGPU). The team will use AI to triage customer issues, identify solutions, and improve processes. Requires leadership, problem-solving, and AI/ML expertise. | AgentServe | 7 |
| Senior Software Engineer - NIM Platform SDK and Framework Senior Software Engineer to own and evolve the core NIM Platform SDK and microservice framework, powering NVIDIA Inferencing Microservices (NIM). Focus on high-performance systems programming, multi-cloud abstractions, and API framework development for production-ready AI inference at scale. | Serve | 7 |
| Senior Networking Solution Test Engineer Senior Networking Solution Test Engineer at NVIDIA focusing on Ethernet-based AI clusters. Responsibilities include designing test requirements, building testbeds, owning end-to-end cluster troubleshooting, debugging networking components (NCCL, RoCE/RDMA), defining tests for automation, running regression/performance/functional/scale testing, and profiling deep learning workloads. Requires 5+ years of Linux networking/system-level testing, strong debugging skills, expertise in NIC validation, and knowledge of AI networking libraries and protocols. | Serve | 7 |
| Senior Architect, AI Solutions Engineering This role focuses on architecting and scaling internal AI solutions for NVIDIA's cloud infrastructure, managing tools for AI development, identifying performance bottlenecks, and guiding engineers in solving complex AI-related problems. The role involves a mix of building AI agentic workflows and optimizing the underlying inference infrastructure. | AgentServe | 7 |
| Senior Software R&D Engineer, Digital Logic Synthesis NVIDIA is seeking an EDA Software R&D Engineer to develop internal EDA tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. The role involves inventing and developing new algorithms for RTL synthesis, digital logic optimization, and physical-aware synthesis techniques, with a focus on prototyping and evaluating ML methods to guide optimization decisions and integrating successful approaches into production. | Serve | 7 |
| Senior System Software Architect, AI and GPU Networking This role focuses on architecting and optimizing NVIDIA's GPU Networking offerings for AI workloads, including distributed AI, deep learning, inference, and model serving. It involves co-designing hardware features and leading the architecture and development of new technologies and runtime systems for AI data centers. | ServePost-train | 7 |
| Senior Software Engineer, Mapping - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their Autonomous Vehicles Mapping team. The role involves designing and developing algorithms for map-based driving products, architecture design, and implementing efficient in-vehicle code. Key responsibilities include researching and developing transformer models for graphs, implementing evaluation frameworks for LLMs, fine-tuning pretrained models, building automated map content analysis, and creating scalable map-building workflows. The role requires a background in computer vision, 3D geometry, machine learning, and heavy AI tool usage for development. | AgentPost-train | 7 |
| Senior ASIC Methodology Engineer - LPU Division This role focuses on inventing and pioneering AI-driven hardware development methodologies for ASICs, aiming to improve predictability, convergence, and turnaround time in the ASIC development lifecycle. The engineer will leverage data to enable AI models and analytics, establish metrics for improvement, share best practices, and track advances in AI, EDA, and hardware design research. | Serve | 7 |
| Senior ASIC Methodology Engineer - LPU Division This role focuses on inventing and pioneering AI-driven and sophisticated automation techniques to transform the way ASICs are conceived, explored, and brought to closure, improving predictability, convergence, and turnaround time in the ASIC development lifecycle. The role involves identifying and leveraging data for AI models, establishing metrics, sharing best practices, and tracking advances in AI and hardware design research. | Serve | 7 |
| Senior Localization Engineer - Autonomous Vehicles Senior Localization Engineer for Autonomous Vehicles at NVIDIA, focusing on building robust map-enhanced autonomous driving solutions with ASIL safety requirements. The role involves localizing to map data for precise environmental modeling, ensuring algorithms perform across diverse data and conditions, and writing efficient C++ code using CUDA for GPGPU programming, with a focus on productizing software for automotive standards. | Agent | 7 |
| Senior AI Developer Technology Engineer, Financial Sector Senior AI Developer Technology Engineer focused on optimizing AI and HPC workloads for financial markets on NVIDIA's computing platforms. This role involves research, development, performance analysis, and collaboration with the developer community and internal teams to influence hardware and software design. | Serve | 7 |
| Senior Robotics DevTech Engineer NVIDIA is seeking a Senior Robotics DevTech Engineer in China to act as a technical bridge between the robotics community and the global NVIDIA Omniverse platform team. The role involves supporting local robotics partners, building expertise in Isaac workflows, enabling partner iteration, and contributing to the product roadmap through market intelligence. Responsibilities include local ecosystem triage and support, developing expertise in robotics simulation tools, translating partner needs to engineering, and generating regional insights. | AgentData | 7 |